The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Tools which allow regression variables to be placed on similar scales, offering computational benefits as well as easing interpretation of regression output.
| Version: | 0.2.2 |
| Depends: | R (≥ 3.6.0) |
| Imports: | lme4, MASS, methods, stats, stringr |
| Suggests: | afex, emmeans, knitr, lmerTest, rmarkdown, testthat |
| Published: | 2021-03-05 |
| DOI: | 10.32614/CRAN.package.standardize |
| Author: | Christopher D. Eager [aut, cre] |
| Maintainer: | Christopher D. Eager <eager.stats at gmail.com> |
| BugReports: | https://github.com/CDEager/standardize/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/CDEager/standardize |
| NeedsCompilation: | no |
| Citation: | standardize citation info |
| Materials: | README NEWS |
| CRAN checks: | standardize results |
| Reference manual: | standardize.pdf |
| Vignettes: |
Using the standardize package |
| Package source: | standardize_0.2.2.tar.gz |
| Windows binaries: | r-devel: standardize_0.2.2.zip, r-release: standardize_0.2.2.zip, r-oldrel: standardize_0.2.2.zip |
| macOS binaries: | r-release (arm64): standardize_0.2.2.tgz, r-oldrel (arm64): standardize_0.2.2.tgz, r-release (x86_64): standardize_0.2.2.tgz, r-oldrel (x86_64): standardize_0.2.2.tgz |
| Old sources: | standardize archive |
| Reverse imports: | Countr |
Please use the canonical form https://CRAN.R-project.org/package=standardize to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.